Development of a topology analysis tool for fifth-generation district heating and cooling networks

Rhein, Justus von; Henze, Gregor P.; Fu, Yangyang

doi:10.1016/j.enconman.2019.05.066

Cited by 114 publications

(36 citation statements)

References 18 publications

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“…This means that heat loss values are precompiled using the area's climate data and then adjusted for the actual supply temperature range of 70-110 • C, although the 150/70 control curve is still declared. The same with the work of Von Rhein et al [30], based on the calculated temperature of the simulation, the amount of heat introduced into the network is linearly interpolated from the lookup table. For this purpose, the traditional input data includes average variables, such as the overall heat transfer coefficient of the network, pipe dimensions and length, as well as supply, return, and outdoor temperatures.…”

Section: Local Specificitiesmentioning

confidence: 99%

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Чичерин

Mašatin²,

Siirde

et al. 2020

Energies

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The goal of this paper was to evaluate heat loss and the demand of district heating (DH) in the context of the fourth generation DH concept using a data-driven approach. The heat loss profile was calculated with GIS Zulu© (software (8.0.0.7539, Politerm, LLC, St.Petersburg, Russia) using eight various states of insulation, detailed information on thermal conductivity, internal heat transfer coefficient, and geometry of the concrete trench. There is a strong correlation between the heat sold and the average annual outdoor temperatures. The outstanding episodes are extremely rare, and the difference in the overall pattern is elusive. The results of the annual heat production and annual heat loss analyses were compared using three different estimation methods. The new method was the only one that showed a positive effect after the complete modernization of thermal insulation. The actual proportion of heat loss is much higher at 16%, while the actual heat delivery is less than anticipated at 85–86% only. The trend of the normative approach is correct but cannot determine changes in network heat loss due to aging. The method focuses on the effects of the state of insulation and actual supply temperature levels. The transition to smart energy systems includes strategic and progressive energy planning, as well as new pricing rules and tariffs. Thus, the method presented is the first step in the transition towards the fourth generation DH networks.

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Section: Local Specificitiesmentioning

confidence: 99%

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Чичерин

Mašatin²,

Siirde

et al. 2020

Energies

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“…Over time, the technology for district heating systems has continually improved by reducing the hot water supply temperature (from 100–200°C to <70°C), resulting in energy savings due to reduced transmission losses and ability to add new heating sources to the district system. Although the original heat sources were oil‐ or coal‐fueled steam boilers (von Rhein, ), heating networks have evolved over time to use combined heat and power (CHP), and eventually geothermal, biomass, waste incineration (Lund et al, ), and solar thermal (Winterscheid, Dalenbäck, & Holler, ). CHP plants can provide heat as well as electricity at high efficiencies.…”

Section: Sustainable District Planning Practicesmentioning

confidence: 99%

Integrated distribution system and urban district planning with high renewable penetrations

Doubleday

Hafiz

Parker

et al. 2019

WIREs Energy & Environment

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Recent efforts to reduce energy consumption and greenhouse gas emissions have resulted in the development of sustainable, smart districts with highly energy efficient buildings, renewable distributed energy resources (DERs), and support for alternative modes of transportation. However, there is typically little if any coordination between the district developers and the local utility. Most attention is paid to the district's annual net load and generation without considering their instantaneous imbalance or the connecting network's state. This presents an opportunity to learn lessons from the design of distribution feeders for districts characterized by low loads and high penetrations of DERs that can be applied to the distribution grid at large. The aim of this overview is to summarize current practices in sustainable district planning as well as advances in modeling and design tools for incorporating the power distribution system into the district planning process. Recent developments in the modeling and optimization of district power systems, including their coordination with multi-energy systems and the impact of high penetration levels of renewable energy, are introduced. Sustainable districts in England and Japan are reviewed as case studies to illustrate the extent to which distribution system planning has been considered in practice. Finally, newly developed building-to-grid modeling tools that can facilitate coordinated district and power system design with utility involvement are introduced, along with suggestions for future research directions.

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“…It should also be mentioned that a DH operator may also vary this temperature on an annual level [20], but it is expected to be close to the suggested value [21]. The different deviation values may be accomplished by changing the ratio of loads between only-heated and DHW-supplied buildings [22].…”

Section: Methodsmentioning

confidence: 92%

Advanced Control of a District Heating System with High Residential Domestic Hot Water Demand

2020

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Proper adjustment of domestic hot water (DHW) load structure can balance energy demand with the supply. Inefficiency in primary energy use prompted Omsk DH company to be a strong proponent of a flow controller at each substation. Here the return temperature is fixed to the lowest possible value and the supply temperature is solved. Thirty-five design scenarios are defined for each load deviation index with equally distributed outdoor temperature ranging from +8 for the start of a heating season towards extreme load at temperature of -26°C. All the calculation results are listed. If a flow controller is installed, the customers might find it suitable to switch to this type of DHW supply. Considering an option with direct hot water extraction as usual and a flow controller installed, the result indicates that the annual heat consumption will be lower once network temperatures during the fall or spring months are higher. The heat load profiles obtained here may be used as input for a simulation of a DH substation, including a heat pump and a tank for thermal energy storage. This design approach offers a quantitative way of sizing temperature levels in each DH system according to the listed methodology and the designer's preference.

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Development of a topology analysis tool for fifth-generation district heating and cooling networks

Cited by 114 publications

References 18 publications

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Integrated distribution system and urban district planning with high renewable penetrations

Advanced Control of a District Heating System with High Residential Domestic Hot Water Demand

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